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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: calculator_model_test |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# calculator_model_test |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1142 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.001 |
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- train_batch_size: 512 |
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- eval_batch_size: 512 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 40 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.9994 | 1.0 | 6 | 2.3829 | |
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| 2.1071 | 2.0 | 12 | 1.8146 | |
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| 1.6604 | 3.0 | 18 | 1.4548 | |
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| 1.3344 | 4.0 | 24 | 1.2129 | |
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| 1.1057 | 5.0 | 30 | 1.1267 | |
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| 0.9979 | 6.0 | 36 | 0.9518 | |
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| 0.8972 | 7.0 | 42 | 0.8461 | |
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| 0.7958 | 8.0 | 48 | 0.7534 | |
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| 0.7312 | 9.0 | 54 | 0.7009 | |
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| 0.6649 | 10.0 | 60 | 0.6680 | |
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| 0.6393 | 11.0 | 66 | 0.7051 | |
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| 0.6601 | 12.0 | 72 | 0.6567 | |
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| 0.6068 | 13.0 | 78 | 0.5767 | |
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| 0.5647 | 14.0 | 84 | 0.5255 | |
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| 0.4983 | 15.0 | 90 | 0.4750 | |
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| 0.5041 | 16.0 | 96 | 0.4331 | |
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| 0.4763 | 17.0 | 102 | 0.4182 | |
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| 0.4353 | 18.0 | 108 | 0.3774 | |
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| 0.3764 | 19.0 | 114 | 0.3496 | |
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| 0.3449 | 20.0 | 120 | 0.3113 | |
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| 0.3256 | 21.0 | 126 | 0.2987 | |
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| 0.2946 | 22.0 | 132 | 0.2670 | |
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| 0.3009 | 23.0 | 138 | 0.2560 | |
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| 0.2382 | 24.0 | 144 | 0.2373 | |
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| 0.2447 | 25.0 | 150 | 0.2340 | |
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| 0.2641 | 26.0 | 156 | 0.3113 | |
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| 0.2926 | 27.0 | 162 | 0.1925 | |
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| 0.2231 | 28.0 | 168 | 0.1932 | |
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| 0.2826 | 29.0 | 174 | 0.1867 | |
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| 0.1928 | 30.0 | 180 | 0.1672 | |
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| 0.1924 | 31.0 | 186 | 0.1577 | |
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| 0.1727 | 32.0 | 192 | 0.1451 | |
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| 0.1715 | 33.0 | 198 | 0.1365 | |
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| 0.1582 | 34.0 | 204 | 0.1334 | |
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| 0.1606 | 35.0 | 210 | 0.1278 | |
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| 0.1556 | 36.0 | 216 | 0.1282 | |
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| 0.1355 | 37.0 | 222 | 0.1226 | |
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| 0.1305 | 38.0 | 228 | 0.1184 | |
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| 0.1494 | 39.0 | 234 | 0.1148 | |
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| 0.1392 | 40.0 | 240 | 0.1142 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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